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Christian R. Shelton
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Fast time series classification using numerosity reduction
X Xi, E Keogh, C Shelton, L Wei, CA Ratanamahatana
Proceedings of the 23rd international conference on Machine learning, 1033-1040, 2006
6832006
Continuous time Bayesian networks
U Nodelman, CR Shelton, D Koller
Uncertainty in Artificial Intelligence, 2002
360*2002
Momentum control for balance
A Macchietto, V Zordan, CR Shelton
ACM SIGGRAPH 2009 papers, 1-8, 2009
2572009
Annotating genes of known and unknown function by large-scale coexpression analysis
K Horan, C Jang, J Bailey-Serres, R Mittler, C Shelton, JF Harper, JK Zhu, ...
Plant physiology 147 (1), 41-57, 2008
2002008
Cobot: A social reinforcement learning agent
C Isbell, C Shelton
Advances in neural information processing systems 14, 2001
1892001
Improving Multi-target Tracking via Social Grouping
Z Qin, CR Shelton
IEEE Conference on Computer Vision and Pattern Recognition, 2012
1752012
Learning continuous time Bayesian networks
U Nodelman, CR Shelton, D Koller
Uncertainty in Artificial Intelligence, 2003
175*2003
Automated, highly-accurate, bug assignment using machine learning and tossing graphs
P Bhattacharya, I Neamtiu, CR Shelton
Journal of Systems and Software 85 (10), 2275-2292, 2012
1632012
A perturbation scheme for spherical arrangements with application to molecular modeling
D Halperin, CR Shelton
Proceedings of the thirteenth annual symposium on Computational geometry …, 1997
1201997
Morphable surface models
CR Shelton
International Journal of Computer Vision 38 (1), 75-91, 2000
1192000
A continuation method for Nash equilibria in structured games
B Blum, CR Shelton, D Koller
Journal of Artificial Intelligence Research 25, 457-502, 2006
1112006
Expectation maximization and complex duration distributions for continuous time Bayesian networks
U Nodelman, CR Shelton, D Koller
Uncertainty in Artificial Intelligence, 2005
99*2005
Machine learning, machine vision, and the brain
T Poggio, CR Shelton
AI Magazine 20 (3), 37-37, 1999
981999
Importance sampling for reinforcement learning with multiple objectives
CR Shelton
952001
Intrusion detection using continuous time Bayesian networks
J Xu, CR Shelton
Journal of Artificial Intelligence Research 39, 745-774, 2010
932010
An electronic market-maker
NT Chan, C Shelton
912001
Rapid: Randomized pharmacophore identification for drug design
PW Finn, LE Kavraki, JC Latombe, R Motwani, C Shelton, ...
Proceedings of the thirteenth annual symposium on Computational geometry …, 1997
901997
Learning from scarce experience
L Peshkin, CR Shelton
International Conference on Machine Learning, 2002
882002
Expectation propagation for continuous time Bayesian networks
U Nodelman, D Koller, CR Shelton
Uncertainty in Artificial Intelligence, 2005
85*2005
Cobot in LambdaMOO: An adaptive social statistics agent
CL Isbell, M Kearns, S Singh, CR Shelton, P Stone, D Kormann
Autonomous Agents and Multi-Agent Systems 13 (3), 327-354, 2006
712006
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